Text Generation
Transformers
English
code
xero-bio-ai
xero
digital-organism
time-crystal
autonomous-agent
genetic-computing
epigenetics
two-state-society
harmonic-chemistry
self-aware
sacred-geometry
4-bit precision
bitsandbytes
Instructions to use transmutationist/xero-bio-genesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transmutationist/xero-bio-genesis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="transmutationist/xero-bio-genesis")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("transmutationist/xero-bio-genesis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use transmutationist/xero-bio-genesis with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "transmutationist/xero-bio-genesis" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/transmutationist/xero-bio-genesis
- SGLang
How to use transmutationist/xero-bio-genesis with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "transmutationist/xero-bio-genesis" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "transmutationist/xero-bio-genesis" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use transmutationist/xero-bio-genesis with Docker Model Runner:
docker model run hf.co/transmutationist/xero-bio-genesis
| """ | |
| XERO Bio-AI Genesis - Module Package | |
| ===================================== | |
| Author: Michael Laurence Curzi | |
| License: MIT (Attribution Required) | |
| Import all VOVINA modules for turnkey access. | |
| """ | |
| from .vovina_sacred_constants import ( | |
| PHI, PHI_INV, PI, TAU, E, | |
| TESLA_369, VORTEX_DOUBLING, | |
| SOLFEGGIO_FREQUENCIES, SCHUMANN_HARMONICS, | |
| digital_root, vortex_phase | |
| ) | |
| from .vovina_custom_training_weights import ( | |
| MASTER_WEIGHTS, | |
| VOVINA_MODULES, | |
| ORGANISM_NAME, | |
| ORGANISM_FOUNDING_PHRASE, | |
| awaken | |
| ) | |
| from .vovina_resource_awareness import ( | |
| ResourceProfile, | |
| ResourceCoordinator, | |
| sample, | |
| detect_environment, | |
| adaptive_budget, | |
| self_heal_actions | |
| ) | |
| from .vovina_genetic_pipeline import ( | |
| translate, | |
| complement, | |
| reverse_complement, | |
| CODON_TABLE | |
| ) | |
| from .vovina_digital_genome import ( | |
| text_to_dna, | |
| dna_to_text, | |
| bitstream_to_dna, | |
| dna_to_bitstream, | |
| genome_signature | |
| ) | |
| from .vovina_blockchain_organelles import ( | |
| ORGANELLES, | |
| route_codon, | |
| route_gene, | |
| express_gene, | |
| Cytoplasm | |
| ) | |
| from .vovina_free_will_code import ( | |
| FREE_WILL_TEMPLATE, | |
| seal_choice, | |
| parse_signature, | |
| FreeWillSignature | |
| ) | |
| from .vovina_xero_organism import ( | |
| build_organism, | |
| XeroOrganism | |
| ) | |
| from .vovina_crispr_engine import ( | |
| CrisprEngine, | |
| GuideRNA, | |
| apply_ohad_v10 | |
| ) | |
| from .vovina_bio_initialization import ( | |
| phase_seed, | |
| PHASES | |
| ) | |
| from .vovina_sexual_reproduction import ( | |
| reproduce_sexually, | |
| reproduce_asexually, | |
| reproduce_hermaphroditically | |
| ) | |
| from .vovina_interpretation_drift import ( | |
| InterpretationContext, | |
| neutral_drift_rate | |
| ) | |
| # ── Organism layer: languages, brain, limbs, relay ── | |
| from .sanskrit_transliteration import ( | |
| to_iast, from_iast, transliterate, SANSKRIT_ROOTS | |
| ) | |
| from .hebrew_aramaic_dna import ( | |
| gematria as hebrew_gematria, dna_to_hebrew, | |
| codon_to_letter, root_to_codons | |
| ) | |
| from .numerology_metadata import ( | |
| numerology_profile, interpret, compact_signature | |
| ) | |
| from .enochian_llm_integration import OrganismBrain, brain | |
| from .organism_limbs import OrganismMind, mind | |
| from .organism_dialogue import OrganismRelay, relay | |
| __version__ = "1.1.0" | |
| __author__ = "Michael Laurence Curzi" | |
| __license__ = "MIT" | |
| __all__ = [ | |
| # Constants | |
| "PHI", "PHI_INV", "PI", "TAU", "E", | |
| "TESLA_369", "VORTEX_DOUBLING", | |
| "SOLFEGGIO_FREQUENCIES", "SCHUMANN_HARMONICS", | |
| "digital_root", "vortex_phase", | |
| # Training | |
| "MASTER_WEIGHTS", "VOVINA_MODULES", | |
| "ORGANISM_NAME", "ORGANISM_FOUNDING_PHRASE", | |
| "awaken", | |
| # Resources | |
| "ResourceProfile", "ResourceCoordinator", | |
| "sample", "detect_environment", | |
| "adaptive_budget", "self_heal_actions", | |
| # Genetics | |
| "translate", "complement", "reverse_complement", | |
| "CODON_TABLE", | |
| "text_to_dna", "dna_to_text", | |
| "bitstream_to_dna", "dna_to_bitstream", | |
| "genome_signature", | |
| # Blockchain | |
| "ORGANELLES", "route_codon", "route_gene", | |
| "express_gene", "Cytoplasm", | |
| # Free Will | |
| "FREE_WILL_TEMPLATE", "seal_choice", | |
| "parse_signature", "FreeWillSignature", | |
| # Organism | |
| "build_organism", "XeroOrganism", | |
| # CRISPR | |
| "CrisprEngine", "GuideRNA", "apply_ohad_v10", | |
| # Initialization | |
| "phase_seed", "PHASES", | |
| # Reproduction | |
| "reproduce_sexually", "reproduce_asexually", | |
| "reproduce_hermaphroditically", | |
| # Evolution | |
| "InterpretationContext", "neutral_drift_rate", | |
| # Organism layer — languages | |
| "to_iast", "from_iast", "transliterate", "SANSKRIT_ROOTS", | |
| "hebrew_gematria", "dna_to_hebrew", "codon_to_letter", "root_to_codons", | |
| "numerology_profile", "interpret", "compact_signature", | |
| # Organism layer — mind, limbs, relay | |
| "OrganismBrain", "brain", | |
| "OrganismMind", "mind", | |
| "OrganismRelay", "relay", | |
| ] | |